Read Image Inspection Region Detection for Print Setup Efficiency
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Solution Overview
Problem
Existing image inspection systems require manual setting of inspection areas for each correct image, which is cumbersome and lacks usability, especially when dealing with a large number of images, and automatic setting can lead to increased user confirmation work.
Innovation Solution
An inspection system that includes a detection unit to automatically detect content areas in reference images, a display unit to set inspection levels, and an inspection unit to compare images based on these settings, allowing for automated and efficient inspection area setup.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual setting of inspection areas is performed for each correct image, then inspection accuracy is maintained, but user workload and time consumption increase significantly
Solution Approach 1:
The system performs preliminary automatic detection of inspection areas using AI/ML algorithms before the actual inspection process. By pre-identifying and setting inspection areas automatically, the system eliminates the need for manual area designation while maintaining inspection accuracy, thus resolving the contradiction between measurement precision and time loss.
Solution Approach 2:
The inspection system performs self-service by automatically detecting and setting inspection areas without requiring manual intervention. The AI-based detection unit autonomously identifies relevant areas in correct images and configures inspection parameters, enabling the system to serve itself rather than relying on user input, thereby reducing user workload while maintaining accuracy.
2Ease of operation
If automatic detection of inspection areas is implemented, then user workload is reduced, but risk of detecting incorrect areas increases
Solution Approach 1:
The system implements feedback mechanisms where the automatically detected inspection areas are validated and adjusted based on comparison with expected patterns and user preferences. The AI model learns from feedback and continuously improves its detection accuracy, ensuring that automatic area detection maintains high reliability while preserving ease of operation.
Solution Approach 2:
The system performs preliminary detection with multiple validation checks before finalizing inspection area settings. By conducting preliminary automatic detection followed by verification steps, the system ensures that the areas detected are accurate and appropriate, thereby maintaining reliability while reducing user workload.
3Productivity
If inspection levels are automatically set for multiple inspection areas, then setup time is reduced, but user confirmation work increases
Solution Approach 1:
The system performs preliminary automatic setting of inspection levels for all detected areas before presenting options to the user. By pre-configuring inspection levels based on AI analysis, the system reduces the number of decisions users need to make, thereby maintaining high setup efficiency while minimizing confirmation work through selective presentation of only ambiguous cases.
Data Source
AI summary
An inspection system including a reading apparatus configured to read an image formed on a sheet and to output a read image, a display configured to display a screen, and an inspection unit configured to inspect an inspection region of the read image. The display is configured to display a screen for selecting whether to automatically analyze a reference image to detect the inspection region.